Michael Brooks

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Professor Mike Brooks an Emeritus Professor in the School of Computer Science. He is a leading international researcher in computer vision and image analysis, and his work in intelligent video surveillance has seen wide commercial use in the security industries and has resulted in international awards.

Mike has served on many boards, including the South Australian Health and Medical Research Institute, the Women’s and Children’s Health Research Institute, and, for almost 10 years, National ICT Australia (NICTA), the forerunner of Data61.

He has extensive experience in research leadership and management. He established six of the University of Adelaide’s flagship research institutes, and has overseen the University’s rapid rise up the international rankings.

Mike is a former chair of the Go8 Committee of Deputy Vice-Chancellors Research, and former member of the NHMRC Code Review Committee advising on Australia’s new research integrity code. He is presently chairing the Australian Research Council (ARC) Review of the ERA/EI, and in the past served for eight years on grant award panels of the ARC.

He has published over 120 papers in the field of computer vision, image analysis and video surveillance. He is a Fellow of the Australian Computer Society and a Fellow of the Australian Academy of Technological Sciences and Engineering.

In senior management at the University of Adelaide, Mike has previously served as Deputy Vice-Chancellor (Research), Provost, and Interim Vice-Chancellor.

As well as being passionate about the wellbeing of the University of Adelaide and his field of artificial intelligence, Mike delights in family life (raising two daughters), beach walks and classical music.

My Research
Career
Publications
Grants and Funding
Teaching
Supervision
Professional Activities
Contact

Research Interests

Recovery of 3D object shape and depth from visual imagery: stereo vision; motion vision; shape from shading; metrology; self-calibration. Statistical vision-parameter estimation. Applications in vision: networked video surveillance, object detection and tracking, behaviour analysis, intruder detection, depth and volume estimation, analysis of road accident and crime scene images, UAV video analysis; evolutionary feature programming.

Commercialisation Awards

An intelligent surveillance system has been developed by the Computer Vision Group of the University of Adelaide's School of Computer Science. This group forms a component of the Image Analysis Program of the CRC for Sensor Signal & Information Processing.

The surveillance system is patented (Brooks, Gibbins & Newsam), licensed to our commercial partner iOmniscient Pty Ltd, and has won the awards listed below.

iOmniscient are now selling the system around the world (e.g. airports, art galleries, iconic structures) and have distribution agreements in the UK, USA and elsewhere. The system has recently been put to use on the Sydney Harbour Bridge. See iOmniscient Newsletter.

See also publicity article The New Art of Surveillance (pdf file 1.2Mb).

iOmniscient wins prestigious 2004 IFSEC Award for the Best Product in Intelligent Surveillance

In May 2004, iOmniscient Pty Ltd won the prestigious 2004 International Fire & Security Exhibition and Conference Award for the Best Product in Intelligent Surveillance.

The IFSEC Award is presented by the British Security Industry Association (BSIA) at the IFSEC Conference which is one of the largest security shows in Europe.

The judging panel consisted of the Security Managers for Lloyds (the insurance group) and Tesco (a large retailer in the UK), the Head of the Security Group of The Ministry of Defence, the Director of the Police Scientific Development Board and the editors of several key European Security Magazines.

All major international competitors were represented at the IFSEC exhibition, including NICE Vision, Object Video, Wavelet and Cieffe among many others.

The President of the BSIA said, "...what iOmniscient has to offer is years ahead of anything else we have seen to date." He went on to say "...organizations should consider their Duty of Care if they decide not to implement technology like this that could avert a disaster. People would tend to ask why an inexpensive but effective technology has not been deployed – especially where innocent lives or major assets are at risk".

iOmniscient is a 2003 Secrets of IT Innovation Winner

The iOmniscient intelligent surveillance system won an award in the prestigious Business/Industrial Software Solutions category. The Secrets of Australian IT Innovation award's major sponsor is the Australian Government through Department of Education Science and Training, Department of Industry Tourism and Resources, Department of Communications, IT and the Arts, and Austrade.

Appointments

Date	Position	Institution name
2021 - ongoing	Emeritus Professor	The University of Adelaide
2020 - 2021	Interim Vice-Chancellor and President	The University of Adelaide
2020 - 2020	Acting Vice-Chancellor and President	University of Adelaide
2019 - 2020	Provost	University of Adelaide
2018 - 2019	Provost and Deputy Vice-Chancellor & Vice-President (Research)	University of Adelaide
2008 - 2018	Deputy Vice-Chancellor & Vice-President (Research)	University of Adelaide
2007 - 2008	Deputy Vice-Chancellor (Research)	University of Adelaide
2007 - 2007	Pro Vice-Chancellor (Research Strategy) (8/2007)	University of Adelaide
2007 - 2007	Chair, Research Quality Framework Board	University of Adelaide
2003 - 2007	Head of School	University of Adelaide
1992 - 2005	Program Leader, Image Analysis Program	Cooperative Research Centre for Sensor Signal & Information Processing
1991 - 1998	Chair in Artificial Intelligence	University of Adelaide
1991 - 1998	Associate Professor	University of Adelaide
1989 - 1991	Reader in Computer Science	Flinders University
1986 - 1991	Head of Discipline	Flinders University
1985 - 1985	Lecturer in Computer Science	University of Adelaide
1979 - 1980	Lecturer in Computer Studies	Sheffield Polytechnic

Awards and Achievements

Date	Type	Title	Institution Name	Country	Amount
2015	Fellowship	ATSE Fellow	Academy of Technological Sciences & Engineering	Australia	-
2015	Fellowship	Australian Computer Society Fellow	Australian Computer Society	Australia	-
2004	Award	Best Product in Intelligent Surveillance	International Fire & Security Exhibition and Conference	United Kingdom	-
2003	Award	Secrets of IT Innovation Winner	Australian Government	Australia	-

Education

Date	Institution name	Country	Title
1983	University of Essex	United Kingdom	Ph.D. (Computer Science)
1976	University of Essex	United Kingdom	M.Sc. (Computer Science)
1975	University of Hull	United Kingdom	B.Sc. Hons (Mathematics)

Journals

Year	Citation
2015	Chojnacki, W., Szpak, Z., Brooks, M., & van Den Hengel, A. (2015). Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Machine Vision and Applications, 26(2-3), 401-422. DOI Scopus5 WoS4
2014	Niu, Y., Dick, A., & Brooks, M. (2014). Compass rose: A rotational robust signature for optical flow computation. IEEE Transactions on Circuits and Systems for Video Technology, 24(1), 63-73. DOI Scopus4 WoS4
2013	Niu, Y., Dick, A., & Brooks, M. (2013). Linking local and global optical flow computation by subspace regularization. Optical Engineering, 52(3), 1-10. DOI Scopus5 WoS2
2012	Niu, Y., Dick, A., & Brooks, M. (2012). Locally oriented optical flow computation. IEEE Transactions on Image Processing, 21(4), 1573-1586. DOI Scopus5 WoS3 Europe PMC1
2009	Chojnacki, W., & Brooks, M. (2009). A note on the locally linear embedding algorithm. International Journal of Pattern Recognition and Artificial Intelligence, 23(8), 1739-1752. DOI Scopus12 WoS5
2008	Scoleri, T., Chojnacki, W., & Brooks, M. (2008). Dimensionality reduction for more stable vision parameter estimation. IET Computer Vision, 2(4), 218-227. DOI
2008	Shen, C., Li, H., & Brooks, M. (2008). Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition, 41(12), 3644-3652. DOI Scopus24 WoS22
2007	Chojnacki, W., & Brooks, M. (2007). On the consistency of the normalized eight-point algorithm. Journal of Mathematical Imaging and Vision, 28(1), 19-27. DOI Scopus8 WoS7
2007	Shen, C., Brooks, M., & Van Den Hengel, A. (2007). Fast global kernel density mode seeking: Applications to localization and tracking. IEEE Transactions on Image Processing, 16(5), 1457-1469. DOI Scopus73 WoS52 Europe PMC5
2005	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2005). FNS, CFNS and HEIV: A unifying approach. Journal of Mathematical Imaging and Vision, 23(2), 175-183. DOI Scopus28 WoS19
2004	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). From FNS to HEIV: A link between two vision parameter estimation methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2), 264-268. DOI Scopus28 WoS24 Europe PMC2
2004	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). A new constrained parameter estimator for computer vision applications. Image and Vision Computing, 22(2), 85-91. DOI Scopus34 WoS24
2003	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). Revisiting Hartley's normalized eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1172-1177. DOI Scopus58 WoS45
2001	Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2001). Rationalising the renormalisation method of Kanatani. Journal of Mathematical Imaging and Vision, 14(1), 21-38. DOI Scopus43 WoS35
2000	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). On the fitting of surfaces to data with covariances. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1294-1303. DOI Scopus143 WoS114
2000	Kanatani, K., Shimizu, Y., Ohta, N., Brooks, M., Chojnacki, W., & Van Den Hengel, A. (2000). Fundamental matrix from optical flow: optimal computation and reliability evaluation. Journal of Electronic Imaging, 9(2), 194-202. DOI Scopus11 WoS8
1999	Li, Y., & Brooks, M. (1999). Efficient recursive factorization method for determining structure from motion. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 138-143. Scopus3
1998	Brooks, M., De Agapito, L., Huynh, D., & Baumela, L. (1998). Towards Robust Metric Reconstruction via a Dynamic Uncalibrated Stereo Head. Image and Vision Computing, 16(14), 989-1002. DOI Scopus21 WoS17
1998	Chojnacki, W., Brooks, M., & Gibbins, D. (1998). On the feasibility of determining light-source direction from an image. Quarterly of Applied Mathematics, 56(2), 289-307. DOI
1997	Brooks, M., Chojnacki, W., & Baumela, L. (1997). Determining the egomotion of an uncalibrated camera from instantaneous optical flow. Journal of the Optical Society of America A, 14(10), 2670-2677. DOI Scopus35 WoS29
1997	Chojnacki, W., Brooks, M., & Gibbins, D. (1997). Can the Sun's Direction be Estimated from an Image Prior to the Computation of Object Shape?. Journal of Mathematical Imaging and Vision, 7(2), 139-147. DOI Scopus4 WoS3
1996	Newsam, G., Huynh, D., Brooks, M., & Pan, H. (1996). Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXI(Part 3B), 575-580.
1994	Chojnacki, W., Brooks, M. J., & Gihhins, D. (1994). Revisiting pentland’s estimator of light source direction. Journal of the Optical Society of America A: Optics and Image Science, and Vision, 11(1), 118-124. DOI Scopus31 WoS27
1994	Vajdic, S., Katz, H., Downing, A., & Brooks, M. (1994). Artificial intelligence (AI)-based relational matching and multimodal medical image fusion: generalized 3D approaches. Proceedings of SPIE - The International Society for Optical Engineering, 2308(p 3), 1565-1573. Scopus3
1992	Brooks, M. J., Chojnacki, W., & Kozera, R. (1992). Impossible and ambiguous shading patterns. International Journal of Computer Vision, 7(2), 119-126. DOI Scopus33 WoS29
1992	Brooks, M. J., Chojnacki, W., & Kozera, R. (1992). Circularly symmetric eikonal equations and non-uniqueness in computer vision. Journal of Mathematical Analysis and Applications, 165(1), 192-215. DOI Scopus14 WoS14
1992	BROOKS, M. J., CHOJNACKI, W., & KOZERA, R. (1992). SHADING WITHOUT SHAPE. QUARTERLY OF APPLIED MATHEMATICS, 50(1), 27-38. DOI WoS16
1991	GIBBINS, D., BROOKS, M. J., & CHOJNACKI, W. (1991). LIGHT-SOURCE DIRECTION FROM A SINGLE IMAGE - A PERFORMANCE ANALYSIS. AUSTRALIAN COMPUTER JOURNAL, 23(4), 165-174. WoS4
1986	Horn, B. K. P., & Brooks, M. J. (1986). The variational approach to shape from shading. Computer Vision, Graphics, and Image Processing, 33(2), 174-208. DOI Scopus459 WoS339
1978	Brooks, M. J. (1978). RATIONALIZING EDGE DETECTORS.. Comput Graphics Image Process, 8(2), 277-285. DOI Scopus26 WoS19

Books

Year	Citation
2001	Stumpner, M., Corbett, D., & Brooks, M. (Eds.) (2001). AI 2001 : Advances in artificial intelligence : 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001 : proceedings. Springer.
1990	Barter, C., & Brooks, M. (1990). Preface (Vol. 406 LNAI).
1979	Horn, B., & Brooks, M. J. (1979). Shape from Shading. MIT Press (MA).

Book Chapters

Year	Citation
1995	Gibbins, D., Brooks, M., & Chojnacki, W. (1995). Determining light-source direction from images of shading. In Perspectives on cognitive science: theories, experiments, and foundations (pp. 127-144). Ablex Publishing Corporation.

Conference Papers

Year	Citation
2010	Chojnacki, W., Szpak, Z., Brooks, M., & Van Den Hengel, A. (2010). Multiple homography estimation with full consistency constraints. In Proceedings of DICTA 2010 (pp. 480-485). USA: IEEE. DOI Scopus10
2009	Chojnacki, W., Hill, R., Van Den Hengel, A., & Brooks, M. (2009). Multi-projective Parameter Estimation for Sets of Homogeneous Matrices. In Proceedings of 2009 Digital Image Computing: Techniques and Applications (pp. 119-124). California: IEEE. DOI Scopus2 WoS1
2009	Niu, Y., Dick, A., & Brooks, M. (2009). A new inconsistency measure for linear systems and two applications in motion analysis. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand (VCNZ 2009) (pp. 276-281). USA: IEEE. DOI Scopus2 WoS1
2008	Shen, C., Li, H., & Brooks, M. (2008). Self-calibrating cameras using semidefinite programming. In Proceedings of the International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 436-441). Online: IEEE. DOI
2008	Kumar, P., Brooks, M., & Dick, A. (2008). Multiple target tracking with an efficient compact colour correlogram. In Proceedings of the 10th International conference on control, automation, robotics and vision (pp. 1-6). USA: IEEE. DOI Scopus5 WoS4
2008	Niu, Y., Dick, A., & Brooks, M. (2008). A new combination of local and global constraints for optical flow computation. In Proceedings of the IVCNZ 2008 (pp. 1-6). USA: IEEE. DOI Scopus1
2008	Kumar, P., Dick, A., & Brooks, M. (2008). Integrated bayesian multi-cue tracker for objects observed from moving cameras. In Proceedings of the IVCNZ 2008 (pp. 1-6). USA: IEEE. DOI Scopus4
2007	Van Den Hengel, A., Chojnacki, W., & Brooks, M. (2007). Determining the translational speed of a camera from time-varying optical flow. In B. Jahne (Ed.), Complex motion [electronic resource]: first international workshop, IWCM 2004, Gunzburg, Germany, October 12-14, 2004: revised papers Vol. 3417 LNCS (pp. 1-8). Germany: Springer. DOI Scopus2 WoS2
2007	Zhao, A., Brooks, M., & Dick, A. (2007). Enhanced appearance models for object tracking. In Yu Jin Zhang (Ed.), Proceedings of the Fourth International Conference on Image and Graphics (pp. 513-518). USA: IEEE. DOI Scopus4 WoS2
2007	Chojnacki, W., & Brooks, M. (2007). A consistency result for the normalized eight-point algorithm. In Rita Cucchiara (Ed.), Proceedings of the 14th International Conference on Image Analysis and Processing (pp. 1-6). USA: IEEE. DOI
2007	Niu, Y., Dick, A., & Brooks, M. (2007). Discontinuity-preserving optical flow computation by a dynamic overdetermined system. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 352-358). CDROM: IEEE. DOI Scopus3
2007	Pooley, D., Brooks, M., & Van Den Hengel, A. (2007). RATSAC: An adaptive method for accelerated robust estimation and its application to video synchronisation. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 294-300). CDROM: IEEE. DOI Scopus1
2007	Shen, C., Li, H., & Brooks, M. (2007). Feature extraction using sequential semidefinite programming. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 430-437). CDROM: IEEE. DOI Scopus3
2007	Scoleri, T., Chojnacki, W., & Brooks, M. (2007). A decoupled algorithm for vision parameter estimation with application to the trifocal tensor. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 138-143). CDROM: IEEE. DOI Scopus2
2007	Kumar, P., Brooks, M., & Van Den Hengel, A. (2007). An adaptive Bayesian technique for tracking multiple objects. In Ashish Ghosh (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4815 LNCS Vol. 4815 LNCS (pp. 657-665). Germany: Springer. DOI Scopus2 WoS1
2007	Kumar, P., Brooks, M., & Dick, A. (2007). Adaptive multiple object tracking using colour and segmentation cues. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4843 LNCS (PART 1) Vol. 4843 LNCS (pp. 853-863). Germany: Springer. DOI Scopus7 WoS5
2007	Shen, C., Li, H., & Brooks, M. (2007). A convex programming approach to the trace quotient problem. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4844 LNCS (PART 2) Vol. 4844 LNCS (pp. 227-235). Germany: Springer. DOI Scopus12 WoS12
2007	Chojnacki, W., van den Hengel, A., & Brooks, M. J. (2007). Generalised Principal Component Analysis: exploiting inherent parameter constraints. In J. Braz, A. Ranchordas, H. Araujo, & J. Jorge (Eds.), Advances in computer graphics and computer vision: International Conferences VISAPP and GRAPP 2006 Vol. 4 CCIS (pp. 217-228). Setubal, Portugal: Springer. DOI Scopus2 WoS1
2006	Shen, C., Li, H., & Brooks, M. (2006). Classification-based likelihood functions for Bayesian tracking. In M. Piccardi, & T. Hintz (Eds.), Proceedings of AVSS 2006 (pp. CDROM1-CDROM6). CDROM: IEEE. DOI Scopus2
2006	Chojnacki, W., Van Den Hengel, A., & Brooks, M. (2006). Constrained generalised principal component analysis. In A. Ranchordas, H. Araujo, & B. Encarnacao (Eds.), Proceedings of VISAPP 2006 Vol. 1 (pp. CDROM206-CDROM212). CDROM: INSTICC.
2005	Brooks, M., Dick, A., & Van Den Hengel, A. (2005). Towards intelligent networked video surveillance for the detection of suspicious behaviours. In P. Mendis, J. Lai, & E. Dawson (Eds.), Proceedings of the 2005 Science, Engineering and Technology Summit (pp. 153-161). Curtin, ACT: The Australian Homeland Security Research Centre.
2005	Shen, C., Van Den Hengel, A., & Brooks, M. (2005). Visual tracking via efficient kernel discriminant subspace learning. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 2 (pp. 1-4). USA: IEEE. DOI Scopus7
2005	Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Augmented particle filtering for efficient visual tracking. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 3 (pp. 1-4). USA: IEEE. DOI Scopus10 WoS3
2005	Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Fast global kernel density mode seeking with application to localisation and tracking. In S. Ma, & H. Shum (Eds.), Proceedings of the Tenth IEEE International Conference on Computer Vision Vol. II (pp. 1516-1523). Los Alamitos, California: IEEE. DOI Scopus39 WoS18
2005	Shen, C., & Brooks, M. (2005). Adaptive over-relaxed mean shift. In A. Bouzerdoum, & A. Beghdadi (Eds.), Proceedings of the 8th International Symposium on Signal Processing and its Applications Vol. 2 (pp. 575-578). USA: IEEE. DOI Scopus5
2005	Scoleri, T., Chojnacki, W., & Brooks, M. (2005). A multi-objective parameter estimator for image mosaicing. In A. Bouzerdoum, & A. Beghdadi (Eds.), Proceedings of the 8th International Symposium on Signal Processing and its Applications Vol. 2 (pp. 551-554). USA: IEEE. DOI Scopus10 WoS4
2004	Dick, A., & Brooks, M. (2004). A stochastic approach to tracking objects across multiple cameras. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 160-170). Berlin, Germany: Springer. DOI Scopus42 WoS20
2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). Enhanced importance sampling: Unscented auxiliary particle filtering for visual tracking. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 180-191). Berlin, Germany: Springer. DOI Scopus11 WoS6
2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). 2D articulated tracking with dynamic Bayesian networks. In D. Wei, H. Wang, Z. Peng, A. Kara, & Y. He (Eds.), Proceedings of the 4th International Conference on Computer and Information Technology 2004 (pp. 1-7). Los Alamitos, California, USA: IEEE. DOI Scopus9 WoS6
2003	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). FNS, CFNS, and HEIV: extending three vision parameter estimation methods. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Digital Image Computing: Techniques and Applications - Proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 449-458). Victoria, Australia: CSIRO Publishing.
2003	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). FNS and HEIV: relating two vision parameter estimation frameworks. In M. Feretti (Ed.), Proceedings of the 12th International Conference on Image Analysis and Processing 2003 (pp. 152-157). California, USA: IEEE. DOI Scopus2 WoS2
2003	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). A statistical rationalisation of Hartley's normalised eight-point algorithm. In M. Feretti (Ed.), Proceedings of the 12th International Conference on Image Analysis and Processing 2003 (pp. 334-339). California, USA: IEEE. DOI Scopus4
2003	Van Den Hengel, A., Hill, R., & Brooks, M. (2003). Incorporating constraints into the design of locally identifiable calibration patterns. In L. Torres (Ed.), Proceedings of the IEEE International Conference on Image Processing 2003 Vol. 1 (pp. CDROM 1-CDROM 4). CDROM: IEEE. DOI Scopus1 WoS1
2003	Pooley, D., Brooks, M., Van Den Hengel, A., & Chojnacki, W. (2003). A voting scheme for estimating the synchrony of moving-camera videos. In L. Torres (Ed.), Proceedings of the 2003 IEEE International Conference on Image Processing Vol. 1 (pp. CDROM 1-CDROM 4). CDROM: IEEE. DOI Scopus20 WoS11
2003	Dick, A., & Brooks, M. (2003). Issues in automated visual surveillance. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 195-203). Australia: CSIRO.
2002	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2002). A new approach to constrained parameter estimation applicable to some computer vision problems. In D. Suter (Ed.), Proceedings of the Statistical Methods in Video Processing Workshop (pp. 43-48). Victoria, Australia: Monash University.
2002	Van Den Hengel, A., Chojnacki, W., Brooks, M., & Gawley, D. (2002). A new constrained parameter estimator: experiments in fundamental matrix computation. In P. L. Rosin, & D. Marshall (Eds.), Proceedings of the 13th British Machine Vision Conference (BMVC 2002) (pp. 468-476). UK: British Machine Vision Association. DOI
2001	Brooks, M., Chojnacki, W., Gawley, D., & Van Den Hengel, A. (2001). Is covariance information useful in estimating vision parameters?. In S. El-Hakim, & A. Gruen (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 4309 (pp. 195-203). PO BOX 10 BELLINGHAM WASHINGTON USA: THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS. DOI
2001	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2001). A fast MLE-based method for estimating the fundamental matrix. In P. Pitas (Ed.), Proceedings of the International Conference on Image Processing Vol. 2 (pp. CDROM 1-CDROM 4). CD-ROM: THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS. DOI Scopus2
2001	Brooks, M., Chojnacki, W., Gawley, D., & Van Den Hengel, A. (2001). What value covariance information in estimating vision parameters?. In Bob Werner (Ed.), Proceedings of the Eighth IEEE International Conference on Computer Vision Vol. 1 (pp. 302-308). LOS ALAMITOS, CALIFORNIA, USA: IEEE COMPUTER SOCIETY. DOI Scopus46 WoS32
2001	Chojnacki, W., Brooks, M. J., Hengel, A. V. D., & Gawley, D. (2001). A fast MLE-based method for estimating the fundamental matrix.. In ICIP (2) (pp. 189-192). IEEE.
2000	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). Estimating vision parameters given data with covariances. In M. Mirmehdi, & B. Thomas (Eds.), Proceedings of the 11th British Machine Vision Conference 2000 (pp. 182-191). Bristol, UK: ILES Central Press.
2000	Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2000). A simplified treatment of Kanatani's renormalisation method. In J. Wang (Ed.), Proceedings of ICARV 2000 - Sixth International Conference on Control, Automation, Robotics and Vision (pp. CD). Singapore: School of Electrical & Electronic Engineering, NTU.
2000	Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2000). A framework for understanding renormalisation-type methods in computer vision. In J. Blanc Talon, D. Popescu, & G. Lasker (Eds.), Proceedings of Advanced Concepts for Intelligent Vision Systems ACIVS - 2000 (pp. 13-19). Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
2000	Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). A fast MLE-based method for estimating the fundamental matrix. In C. Sun, P. Ogunbona, W. Li, & R. Beare (Eds.), Proceedings of APRS/IEEE Workshop on Stereo Image and Video Processing (pp. 33-36). Australia: Australian Pattern Recognition Society.
1998	Brooks, M. J., Chojnacki, W., Dick, A., van den Hengel, A., Kanatani, K., & Ohta, N. (1998). Incorporating optical flow uncertainty information into a self-calibration procedure for a moving camera. In S. F. ElHakim, & A. Gruen (Eds.), Proceedings of SPIE Vol. 3641 Videometrics VI (pp. 183-192). San Jose, CA: SPIE. DOI Scopus1
1998	de Agapito, L., Huynh, D. Q., & Brooks, M. J. (1998). Self-calibrating a stereo head: An error analysis in the neighbourhood of degenerate configurations. In Proceedings of the IEEE International Conference on Computer Vision (pp. 747-753). BOMBAY, INDIA: NAROSA PUBLISHING HOUSE. DOI Scopus6 WoS2
1998	Brooks, M. J., Chojnacki, W., van den Hengel, A., & Baumela, L. (1998). Robust techniques for the estimation of structure from motion in the uncalibrated case. In H. Burkhardt, & B. Neumann (Eds.), Computer Vision - ECCV'98: proceedings vol.1 Vol. 1406 (pp. 281-295). Freiburg, Germany: Springer. DOI Scopus3
1997	Brooks, M. J., Baumela, L., & Chojnacki, W. (1997). Egomotion from optical flow with an uncalibrated camera. In J. Biemond, & E. J. Delp (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 3024 (pp. 220-228). SAN JOSE, CA: SPIE - INT SOC OPTICAL ENGINEERING. DOI Scopus2 WoS2
1996	Gibbins, D., Newsam, G. N., & Brooks, M. J. (1996). Detecting suspicious background changes in video surveillance of busy scene. In IEEE Workshop on Applications of Computer Vision - Proceedings (pp. 22-26). SARASOTA, FL: I E E E, COMPUTER SOC PRESS. DOI Scopus20 WoS14
1996	Brooks, M. J., De Agapito, L., Huynh, D. Q., & Baumela, L. (1996). Direct methods for self-calibration of a moving stereo head. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1065 (pp. 413-426). Springer Berlin Heidelberg. DOI Scopus9
1996	Newsam, G., Huynh, D. Q., Brooks, M. J., & Pan, H. P. (1996). Recovering unknown focal lengths in self-calibration: An essentially linear algorithm and degenerate configurations.. In Proc. ISPRS-Congress Vol. 31 (pp. 575-580). Vienna.
1995	Brooks, M. J., Chojnacki, W., & van den Hengel, A. (1995). Solving the shape-from-shading problem on the CM-5. In Proceedings: CAMP '95 Conference on Computer Architectures for Machine Perception (pp. 196-201). Como, Italy: IEEE. DOI
1995	Pan, H. P., Brooks, M. J., & Newsam, G. N. (1995). Image resituation: Initial theory. In S. F. ElHakim (Ed.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2598 (pp. 162-173). PHILADELPHIA, PA: SPIE - INT SOC OPTICAL ENGINEERING. DOI Scopus11 WoS5
1995	VAJDIC, S., BOUZERDOUM, A., BROOKS, M., DOWNING, A., & KATZ, H. (1995). 3D image registration: Neural networks, knowledge-based analysis and automatic algorithms. In U. Rembold, R. Dillmann, L. O. Hertzberger, & T. Kanade (Eds.), INTELLIGENT AUTONOMOUS SYSTEMS - IAS-4 (pp. 262-269). KARLSRUHE, GERMANY: I O S PRESS.
1995	Vajdic, S. M., Bouzerdoum, A., Brooks, M. J., Downing, A. R., & Katz, H. E. (1995). Neural network region-based inexact relational medical image matching. In G. F. Forsyth, & M. Ali (Eds.), Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1995 (pp. 77-86). MELBOURNE, AUSTRALIA: GORDON AND BREACH SCIENCE PUBL.
1995	Vajdic, S. M., Bouzerdoum, A., Brooks, M. J., Downing, A. R., & Katz, H. E. (1995). Neural network architectures: Medical image segmentation approach as a step towards medical image fusion. In G. F. Forsyth, & M. Ali (Eds.), Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1995 (pp. 93-98). MELBOURNE, AUSTRALIA: GORDON AND BREACH SCIENCE PUBL.
1994	VAJDIC, S. M., KATZ, H. E., DOWNING, A. R., & BROOKS, M. J. (1994). AI-BASED RELATIONAL MATCHING AND MULTIMODAL MEDICAL IMAGE FUSION - GENERALIZED 3D APPROACHES. In A. K. Katsaggelos (Ed.), VISUAL COMMUNICATIONS AND IMAGE PROCESSING '94, PTS 1-3 Vol. 2308 (pp. 1565-1573). CHICAGO, IL: SPIE - INT SOC OPTICAL ENGINEERING. DOI WoS2
1994	Brooks, M. J., & Chojnacki, W. (1994). Direct Computation of Shape from Shading. In Proceedings - International Conference on Pattern Recognition Vol. 1 (pp. 114-119). JERUSALEM, ISRAEL: I E E E, COMPUTER SOC PRESS. DOI Scopus15 WoS8
1994	Vajdic, S. M., Katz, H. E., Downing, A. R., & Brooks, M. J. (1994). Artificial intelligence and registration of functional and structural images: generalised 2D approaches. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics Vol. 1 (pp. 1030-1035). SAN ANTONIO, TX: I E E E. Scopus1 WoS1
1983	Brooks, M. (1983). TWO RESULTS CONCERNING AMBIGUITY IN SHAPE FROM SHADING.. In Unknown Conference (pp. 36-39). Scopus16

ARC Discovery Grant 2005-2007

Prof MJ Brooks

Multi-objective parameter estimation techniques for computer vision

2005 : $101,000
2006 : $79,000
2007 : $81,000

Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING

Administering Institution : The University of Adelaide

This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within real video; 3D from 2D systems, with which 3D object structure may be computed from image streams; and visual robotic systems, with which the pose of viewed objects may be determined.

ARC Discovery Grant 2007-2009

Prof MJ Brooks and Dr AR Dick

Automated acquisition of surveillance-camera network topology

2007 : $67,000
2008 : $67,000
2009 : $67,000

Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING

Administering Institution : The University of Adelaide

The development of an automated system for acquisition of camera network topology is a crucial prerequisite to obtaining intelligent surveillance systems operating at the network level. Such systems will contribute improved methods for safeguarding Australia from terrorism and crime by facilitating the tracking of suspicious individuals and vehicles, and detecting anomalous behaviours in busy environments. The leading-edge techniques involved will also constitute smart information use of significant commercial value to Australian industry.

ARC Discovery Grant 2008-2010

Prof MJ Brooks

Enhanced parameter estimation for multi-component fitting in computer vision

2008 : $85,000
2009 : $85,000
2010 : $80,000

Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING

Administering Institution : The University of Adelaide

Computer vision is concerned with the development of computational methods that endow machines with the capacity to interpret their visual environment. Emerging applications include automated methods for analysing behaviour exhibited in video and improved techniques for generating special effects in movies. Many vision problems require high-accuracy estimation of parameters embedded within a mathematical model, an area that has seen enormous progress over the last decade. This project will develop leading edge techniques for simultaneously computing parameters that characterise multiple components (such as several objects in motion) rather than a single component, a critical remaining challenge in the field.

Teaching

Artificial Intelligence, Computer Vision

Past Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2007 - 2008	Co-Supervisor	Efficient Embedding of Meshes and Hypercubes on a Group of Future Network Architectures	Doctor of Philosophy	Doctorate	Full Time	Miss Yawen Chen
2007 - 2010	Principal Supervisor	Optical Flow Estimation in the Presence of Fast or Discontinuous Motion	Doctor of Philosophy	Doctorate	Full Time	Ms Yan Niu
2003 - 2006	Principal Supervisor	Robust Visual Tracking in Image Sequences	Doctor of Philosophy	Doctorate	Full Time	Prof Chunhua Shen
2002 - 2008	Co-Supervisor	Fundamental Numerical Schemes for Parameter Estimation in Computer Vision	Doctor of Philosophy	Doctorate	Full Time	Dr Tony Scoleri
2000 - 2008	Principal Supervisor	Reconstructing 3D Geometry from Multiple Images via Inverse Rendering	Doctor of Philosophy	Doctorate	Full Time	Mr John Bastian
2000 - 2008	Co-Supervisor	The Automated Synchronisation of Independently Moving Cameras	Doctor of Philosophy	Doctorate	Full Time	Dr Daniel Pooley
1999 - 2004	Principal Supervisor	Towards an estimation framework for some problems in computer vision	Doctor of Philosophy	Doctorate	Full Time	Dr Darren Gawley
1998 - 2005	Principal Supervisor	Surface Reconstruction from Three Dimensional Range Data	Doctor of Philosophy	Doctorate	Part Time	Mr Andrew Peter Myers

Board Memberships

Date	Role	Board name	Institution name	Country
2009 - ongoing	Director	Board of Directors	Adelaide Research & Innovation	Australia
2005 - ongoing	Director	Board of Directors	NICTA (National ICT Australia)	Australia
2000 - 2003	Director	Board of Directors	Unibooks Pty Ltd	Australia
1993 - 1995	Director	Board of Directors	Camtech Pty Ltd	Australia

Editorial Boards

Date	Role	Editorial Board Name	Institution	Country
2015 - ongoing	Associate Editor	International Journal of Computer Vision	-	Australia
2015 - ongoing	Associate Editor	IET Computer Vision	IET Computer Vision	Australia

Email: michael.brooks@adelaide.edu.au

Michael Brooks

Research Interests

Commercialisation Awards

iOmniscient wins prestigious 2004 IFSEC Award for the Best Product in Intelligent Surveillance

iOmniscient is a 2003 Secrets of IT Innovation Winner

Appointments

Awards and Achievements

Education

Journals

Books

Book Chapters

Conference Papers

ARC Discovery Grant 2005-2007

Prof MJ Brooks

Multi-objective parameter estimation techniques for computer vision

ARC Discovery Grant 2007-2009

Prof MJ Brooks and Dr AR Dick

Automated acquisition of surveillance-camera network topology

ARC Discovery Grant 2008-2010

Prof MJ Brooks

Enhanced parameter estimation for multi-component fitting in computer vision

Teaching

Past Higher Degree by Research Supervision (University of Adelaide)

Board Memberships

Editorial Boards

Connect With Me

External Profiles

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